Characterization of colon carcinoma growth pattern by computerized morphometry: Definition of a complexity index.

Characterization of colon carcinoma growth pattern by computerized morphometry: Definition of a complexity index. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

Characterization of colon carcinoma growth pattern by computerized morphometry: Definition of a complexity index. Abstract Text:

The invasive front of carcinomas may vary in complexity from smooth to highly complex when the front splits up into small cell clusters or even single cancer cells. The degree of complexity is usually estimated visually and semiquantitatively by a pathologist, although more objective methods based on computer-assisted image analysis are available. In this study, we compared the visual estimation of the irregularity of the tumour invasion front of colon carcinomas to different quantitative image analytical techniques and defined a complexity index for the invasive margin. Sections from 29 archived colon carcinomas were stained immunohistochemically for cytokeratin 8. Images of the tumour invasion front were read into a computer and thresholded so that the tumour tissue became black and the background white or so that the tumour front was outlined by a single pixel line. The invasive front was visually classified into four degrees of irregularity by a pathologist. The complexity of the front was then assessed using four different image analysis techniques, i.e. the estimation of fractal dimension, tumour front length, number of tumour cell clusters and lacunarity. Fractal dimension and tumour cell clusters together gave the best correlation to visual grading using a discriminant analysis. A cluster analysis and a tree diagram analysis were then performed and were found to be superior to visual estimation. The clusters represent different degrees of complexity and the result of the tree diagram analysis can be used to assign complexity indices to colon tumours. The fractal dimension separated tumours up to a certain level (1.5-1.6) of complexity. When the tumour front split up into small cell clusters, the counting of tumour cell clusters separated the cells over and above the fractal dimension. This new technique can be used to objectively and quantitatively describe the complexity of the invasive front of tumours.

Characterization of colon carcinoma growth pattern by computerized morphometry: Definition of a complexity index. Publishing Authors By Initials

For similar abstracts research abstracts see: abstracts research

PUBMED ID PMID:

MEDLINE DATE:

Characterization of colon carcinoma growth pattern by computerized morphometry: Definition of a complexity index. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: International journal of molecular medicine

VOLUME: 22

Page Numbers: 465-72

Journal Abbreviation: Int. J. Mol. Med.

ISSN: 1107-3756

DAY: 24

MONTH: Oct

YEAR: 2008

Characterization of colon carcinoma growth pattern by computerized morphometry: Definition of a complexity index. Information

Number of References:

LANGUAGE: eng

NlmUniqueID: 9810955

Characterization of colon carcinoma growth pattern by computerized morphometry: Definition of a complexity index. Keywords Mesh Terms:

KEYWORDS:

MESH TERMS:

Chemical & Substance for Abstract: Characterization of colon carcinoma growth pattern by computerized morphometry: Definition of a complexity index. Information

Substance Name:

Registry Number:

Grant and Affiliation Information for Characterization of colon carcinoma growth pattern by computerized morphometry: Definition of a complexity index.

AFFILIATION: Department of Pathology and Cytology, Aleris Medilab, Täby and Department of Clinical Medicine, Orebro University, Orebro, Sweden. lennart.franzen@aleris.se.

Country: Greece

AGENCY:

GRANT:

ACRONYM:

MEDLINETA: Int J Mol Med

REFSOURCE:

DATABASENAME:

ACCESSION NUMBER:

Number Hits: 0

Characterization of colon carcinoma growth pattern by computerized morphometry: Definition of a complexity index Related Publications

• 48-hour ambulatory electrocardiography in dynamite workers and controls.
• Characterization of colon carcinoma growth pattern by computerized morphometry: Definition of a complexity index.
• Genetic correlation between female fertility and milk yield in Lacaune sheep.
• Neuropsychological test results and symptoms among workers with well-defined long-term exposure to lead.
• Obesity in Swedish schoolchildren is increasing in both prevalence and severity.
• Palpation-directed (non-fluoroscopically guided) saline-enhanced MR arthrography of the shoulder.
• Poverty close to home.
• Prostaglandins and habitual abortion.
• Temperamental reactivity and negative emotionality in uncooperative children referred to specialized paediatric dentistry compared to children in ordinary dental care.
• Using network centrality measures to manage landscape connectivity.
• Widespread triggering of nonvolcanic tremor in California.
• [In Process Citation]